• Open Access

Inferring hidden symmetries of exotic magnets from detecting explicit order parameters

Nihal Rao, Ke Liu (刘科 子竞), and Lode Pollet
Phys. Rev. E 104, 015311 – Published 23 July 2021

Abstract

An unconventional magnet may be mapped onto a simple ferromagnet by the existence of a high-symmetry point. Knowledge of conventional ferromagnetic systems may then be carried over to provide insight into more complex orders. Here we demonstrate how an unsupervised and interpretable machine-learning approach can be used to search for potential high-symmetry points in unconventional magnets without any prior knowledge of the system. The method is applied to the classical Heisenberg-Kitaev model on a honeycomb lattice, where our machine learns the transformations that manifest its hidden O(3) symmetry, without using data of these high-symmetry points. Moreover, we clarify that, in contrast to the stripy and zigzag orders, a set of D2 and D2h ordering matrices provides a more complete description of the magnetization in the Heisenberg-Kitaev model. In addition, our machine also learns the local constraints at the phase boundaries, which manifest a subdimensional symmetry. This paper highlights the importance of explicit order parameters to many-body spin systems and the property of interpretability for the physical application of machine-learning techniques.

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  • Received 5 November 2020
  • Revised 11 June 2021
  • Accepted 13 June 2021

DOI:https://doi.org/10.1103/PhysRevE.104.015311

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsInterdisciplinary PhysicsCondensed Matter, Materials & Applied Physics

Authors & Affiliations

Nihal Rao1,2, Ke Liu (刘科 子竞)1,2,*, and Lode Pollet1,2,3

  • 1Arnold Sommerfeld Center for Theoretical Physics, University of Munich, Theresienstrasse 37, 80333 München, Germany
  • 2Munich Center for Quantum Science and Technology, Schellingstrasse 4, 80799 München, Germany
  • 3Wilczek Quantum Center, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China

  • *ke.liu@lmu.de

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Vol. 104, Iss. 1 — July 2021

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